Seminar 04 – Linking Data to Publications: Where Next?

Helen Atkins is currently Editorial Director at the American Association for Cancer Research. Prior to joining AACR in 2009, she spent eight years with Stanford University’s HighWire Press, working on online product and site development with a wide range of scholarly publishers. Helen began her career in publishing with a secondary publisher, ISI (now Thomson Reuters), where she held various positions during her 18-years there, ranging from editorial to product and database development to competitive intelligence. Before entering publishing, she spent time in various library positions. She holds a BA in Psychology and an MS in Library & Information Science.

David Martinsen has been at the American Chemical Society (ACS) for over 20 years, working in various capacities in the Publications Division and in IT. In his current role, Dr. Martinsen is responsible for tracking new technologies and planning for their incorporation into the scholarly publishing environment. Prior to joining ACS, he worked for a chemical software/database company, with responsibilities in database curation and in the development and maintenance of online search/retrieval systems for chemical data, after earning a PhD degree in physical chemistry from the University of Minnesota. He is currently Past-Chair of the ACS Division of Chemical Information, and serves on the Committee for Printed on Electronic Publications of the International Union of Pure and Applied Chemistry (IUPAC).

Micah Altman is Senior Research Scientist in the Institute for Quantitative Social Science in the Faculty of Arts and Sciences at Harvard University and Archival Director of the Henry A. Murray Research Archive. Dr. Altman conducts research in social science informatics, social science research methodology, and American politics, focusing on the intersection of information, technology, and politics; and on the dissemination, preservation, and reliability of scientific knowledge. His current research interests include survey quality; computationally reliable and efficient statistical methods; the collection, sharing, citation and preservation of research data; the creation and analysis of networks of scientific knowledge; and computational methods of redistricting. Dr. Altman’s work has been recognized by the Supreme Court, Forbes, and by Who’s Who in America. His extensively-reviewed book, Numerical Issues in Statistical Computing for the Social Scientist, corrects common computational errors made across the range of social sciences. And his over forty-two publications and five open-source software packages span informatics, statistics, computer science, political science, and other social-science disciplines.

Todd J. Vision is an Associate Professor of Biology at the University of North Carolina at Chapel Hill and the Associate Director for Informatics at the National Evolutionary Synthesis Center. His biological interests include the evolution of genomes and the use of computational methods for reasoning over heterogeneous and qualitative biological data. He is the director of the Dryad digital data repository (http:/datadryad.org), and on the leadership team of DataONE, an NSF-supported DataNet with a focus on the environmental sciences (http://dataone.org). His recent research in the field of data science is aimed at informing science policy and publication practice, in particular how to address the socio-technical barriers to the reuse of data derived from “small science” research.